Query: 7819638510

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Select the k-NN search approach:
Exact Search    
Perms    
Perms,re-rank(SimplexNormMean)     Perms,re-rank(SimplexNormZenith)     Perms,re-rank(SimplexMean)     Perms,re-rank(SimplexZenith)     Perms,re-rank(SimplexLwb)     Perms,re-rank(SimplexUpb)    
Perms,re-rank(PivotedEmbeddingMean)     Perms,re-rank(PivotedEmbeddingLwb)     Perms,re-rank(PivotedEmbeddingUpb)    

Select dataset size in Millions:
1  2  3  4  5  6  7  8  9  10  20  30  40  50  60  70  80  90  96 


Query: 7819638510

#1   d:0.000
#2   d:0.624
#3   d:0.625
#4   d:0.633
#5   d:0.639

#6   d:0.640
#7   d:0.642
#8   d:0.644
#9   d:0.646
#10   d:0.652

#11   d:0.652
#12   d:0.653
#13   d:0.654
#14   d:0.655
#15   d:0.655

#16   d:0.659
#17   d:0.660
#18   d:0.661
#19   d:0.661
#20   d:0.661

#21   d:0.664
#22   d:0.666
#23   d:0.669
#24   d:0.669
#25   d:0.670

#26   d:0.671
#27   d:0.674
#28   d:0.675
#29   d:0.676
#30   d:0.676

#31   d:0.676
#32   d:0.678
#33   d:0.679
#34   d:0.682
#35   d:0.684

#36   d:0.685
#37   d:0.688
#38   d:0.688
#39   d:0.689
#40   d:0.689

#41   d:0.690
#42   d:0.690
#43   d:0.691
#44   d:0.691
#45   d:0.691

#46   d:0.692
#47   d:0.692
#48   d:0.694
#49   d:0.694
#50   d:0.694

#51   d:0.695
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#53   d:0.695
#54   d:0.695
#55   d:0.696

#56   d:0.697
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#58   d:0.697
#59   d:0.697
#60   d:0.697

#61   d:0.698
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#64   d:0.698
#65   d:0.698

#66   d:0.699
#67   d:0.700
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#71   d:0.702
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#76   d:0.703
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#81   d:0.704
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#86   d:0.705
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#91   d:0.707
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#96   d:0.708
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#99   d:0.709
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#101   d:0.709
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#106   d:0.712
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#111   d:0.713
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#116   d:0.714
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#120   d:0.715

#121   d:0.715
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#126   d:0.717
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#131   d:0.719
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#134   d:0.720
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#136   d:0.721
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#140   d:0.721

#141   d:0.722
#142   d:0.722
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#144   d:0.722
#145   d:0.722

#146   d:0.722
#147   d:0.722
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#150   d:0.723

#151   d:0.723
#152   d:0.724
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#155   d:0.724

#156   d:0.724
#157   d:0.724
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#161   d:0.725
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#166   d:0.726
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#181   d:0.728
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#186   d:0.729
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#191   d:0.730
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#194   d:0.730
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#196   d:0.730
#197   d:0.730
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#200   d:0.731

#201   d:0.731
#202   d:0.731
#203   d:0.731
#204   d:0.731
#205   d:0.731

#206   d:0.732
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#216   d:0.732
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#220   d:0.733

#221   d:0.733
#222   d:0.733
#223   d:0.734
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#225   d:0.734

#226   d:0.734
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#229   d:0.734
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#231   d:0.734
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#245   d:0.736

#246   d:0.736
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#248   d:0.736
#249   d:0.736
#250   d:0.736

#251   d:0.736
#252   d:0.737
#253   d:0.737
#254   d:0.737
#255   d:0.737

#256   d:0.737
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#260   d:0.737

#261   d:0.738
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#263   d:0.738
#264   d:0.738
#265   d:0.738

#266   d:0.738
#267   d:0.738
#268   d:0.738
#269   d:0.738
#270   d:0.738

#271   d:0.738
#272   d:0.738
#273   d:0.739
#274   d:0.739
#275   d:0.739

#276   d:0.739
#277   d:0.739
#278   d:0.739
#279   d:0.739
#280   d:0.739

#281   d:0.739
#282   d:0.739
#283   d:0.739
#284   d:0.739
#285   d:0.740

#286   d:0.740
#287   d:0.740
#288   d:0.740
#289   d:0.740
#290   d:0.740

#291   d:0.740
#292   d:0.740
#293   d:0.740
#294   d:0.740
#295   d:0.740

#296   d:0.740
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#299   d:0.740
#300   d:0.741

#301   d:0.741
#302   d:0.741
#303   d:0.741
#304   d:0.741
#305   d:0.741

#306   d:0.741
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#309   d:0.741
#310   d:0.742

#311   d:0.742
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#314   d:0.742
#315   d:0.742

#316   d:0.742
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#320   d:0.742

#321   d:0.742
#322   d:0.742
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#325   d:0.742

#326   d:0.743
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#331   d:0.743
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#336   d:0.743
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#351   d:0.745
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#365   d:0.746

#366   d:0.746
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#371   d:0.746
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#373   d:0.746
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#376   d:0.746
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#381   d:0.747
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#386   d:0.747
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#389   d:0.747
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#391   d:0.747
#392   d:0.747
#393   d:0.748
#394   d:0.748
#395   d:0.748

#396   d:0.748
#397   d:0.748
#398   d:0.748
#399   d:0.748
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#401   d:0.748
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#403   d:0.748
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#406   d:0.749
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#411   d:0.749
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#421   d:0.749
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#770   d:0.766

#771   d:0.766
#772   d:0.766
#773   d:0.766
#774   d:0.766
#775   d:0.766

#776   d:0.766
#777   d:0.766
#778   d:0.766
#779   d:0.766
#780   d:0.766

#781   d:0.766
#782   d:0.766
#783   d:0.766
#784   d:0.766
#785   d:0.766

#786   d:0.766
#787   d:0.766
#788   d:0.766
#789   d:0.767
#790   d:0.767

#791   d:0.767
#792   d:0.767
#793   d:0.767
#794   d:0.767
#795   d:0.767

#796   d:0.767
#797   d:0.767
#798   d:0.767
#799   d:0.767
#800   d:0.767

#801   d:0.767
#802   d:0.767
#803   d:0.767
#804   d:0.767
#805   d:0.767

#806   d:0.767
#807   d:0.767
#808   d:0.767
#809   d:0.767
#810   d:0.768

#811   d:0.768
#812   d:0.768
#813   d:0.768
#814   d:0.768
#815   d:0.768

#816   d:0.768
#817   d:0.768
#818   d:0.768
#819   d:0.768
#820   d:0.768

#821   d:0.768
#822   d:0.768
#823   d:0.768
#824   d:0.768
#825   d:0.768

#826   d:0.768
#827   d:0.768
#828   d:0.768
#829   d:0.768
#830   d:0.768

#831   d:0.768
#832   d:0.768
#833   d:0.768
#834   d:0.768
#835   d:0.768

#836   d:0.768
#837   d:0.768
#838   d:0.768
#839   d:0.768
#840   d:0.768

#841   d:0.768
#842   d:0.768
#843   d:0.768
#844   d:0.769
#845   d:0.769

#846   d:0.769
#847   d:0.769
#848   d:0.769
#849   d:0.769
#850   d:0.769

#851   d:0.769
#852   d:0.769
#853   d:0.769
#854   d:0.769
#855   d:0.769

#856   d:0.769
#857   d:0.769
#858   d:0.769
#859   d:0.769
#860   d:0.769

#861   d:0.769
#862   d:0.769
#863   d:0.769
#864   d:0.769
#865   d:0.769

#866   d:0.769
#867   d:0.769
#868   d:0.770
#869   d:0.770
#870   d:0.770

#871   d:0.770
#872   d:0.770
#873   d:0.770
#874   d:0.770
#875   d:0.770

#876   d:0.770
#877   d:0.770
#878   d:0.770
#879   d:0.770
#880   d:0.770

#881   d:0.770
#882   d:0.770
#883   d:0.770
#884   d:0.770
#885   d:0.770

#886   d:0.770
#887   d:0.770
#888   d:0.770
#889   d:0.770
#890   d:0.770

#891   d:0.770
#892   d:0.770
#893   d:0.770
#894   d:0.770
#895   d:0.770

#896   d:0.770
#897   d:0.770
#898   d:0.770
#899   d:0.770
#900   d:0.770

#901   d:0.770
#902   d:0.770
#903   d:0.771
#904   d:0.771
#905   d:0.771

#906   d:0.771
#907   d:0.771
#908   d:0.771
#909   d:0.771
#910   d:0.771

#911   d:0.771
#912   d:0.771
#913   d:0.771
#914   d:0.771
#915   d:0.771

#916   d:0.771
#917   d:0.771
#918   d:0.771
#919   d:0.771
#920   d:0.771

#921   d:0.771
#922   d:0.771
#923   d:0.771
#924   d:0.771
#925   d:0.771

#926   d:0.771
#927   d:0.771
#928   d:0.771
#929   d:0.771
#930   d:0.771

#931   d:0.771
#932   d:0.772
#933   d:0.772
#934   d:0.772
#935   d:0.772

#936   d:0.772
#937   d:0.772
#938   d:0.772
#939   d:0.772
#940   d:0.772

#941   d:0.772
#942   d:0.772
#943   d:0.772
#944   d:0.772
#945   d:0.772

#946   d:0.772
#947   d:0.772
#948   d:0.772
#949   d:0.772
#950   d:0.772

#951   d:0.772
#952   d:0.772
#953   d:0.772
#954   d:0.772
#955   d:0.772

#956   d:0.772
#957   d:0.772
#958   d:0.773
#959   d:0.773
#960   d:0.773

#961   d:0.773
#962   d:0.773
#963   d:0.773
#964   d:0.773
#965   d:0.773

#966   d:0.773
#967   d:0.773
#968   d:0.773
#969   d:0.773
#970   d:0.773

#971   d:0.773
#972   d:0.773
#973   d:0.773
#974   d:0.773
#975   d:0.773

#976   d:0.773
#977   d:0.773
#978   d:0.773
#979   d:0.773
#980   d:0.773

#981   d:0.773
#982   d:0.773
#983   d:0.773
#984   d:0.773
#985   d:0.773

#986   d:0.773
#987   d:0.773
#988   d:0.774
#989   d:0.774
#990   d:0.774

#991   d:0.774
#992   d:0.774
#993   d:0.774
#994   d:0.774
#995   d:0.774

#996   d:0.774
#997   d:0.774
#998   d:0.774
#999   d:0.774
#1000   d:0.774
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |